使用LSTM对股票价格进行回归预测,对股价涨跌进行分类预测。We use LSTM to forecast the stock price and classify the rise and fall of the stock price.
☆17Jun 18, 2020Updated 6 years ago
Alternatives and similar repositories for LSTM-regression-and-classification
Users that are interested in LSTM-regression-and-classification are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 算法根据单个板块或单只股票的历史数据判断板块指数或个股次日收盘价信息,得到相应的调仓对策。可回归(预测具体价格)可分类(预测涨跌)。 长短期记忆模型(LSTM)是循环神经网络(RNN)的一种,每个输入样本都是一个序列(如某板块20天的四价一量)用这个序列预测结果。它认为某些…☆65Feb 8, 2020Updated 6 years ago
- 🐮首创性地运用Transformer+XDEEPFM预测中国A股单只股票每天的涨跌幅!☆15Mar 29, 2021Updated 5 years ago
- Use BPNN and LSTM to forecast stock price. 使用BP神经网络和LSTM预测股票价格,注释拉满。☆209Jun 6, 2022Updated 4 years ago
- LSTM长短期记忆模型预测股票涨跌☆13Jul 24, 2020Updated 6 years ago
- NN models designed to analyze and predict stock market from any stock data given☆37May 14, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Alpha mining with DEAP-based genetic programming.☆11Jul 7, 2023Updated 3 years ago
- LSTM and XGboost are used to forecast multi-factor convertible bonds and stocks☆12Aug 22, 2022Updated 3 years ago
- Blaze☆17Jun 19, 2021Updated 5 years ago
- 使用决策树实现预测人才招聘市场的最低薪酬预测 | C4.5分类 | CART回归 | 剪枝 | 随机森林☆19Feb 20, 2019Updated 7 years ago
- 通过将对上市公司招股说明书情绪分析的结果与常用财务指标、企业科研指标等结合,综合使用多种分类模型:传统LR、随机森林、XGB、LGB集成学习模型对新上市公司破发情况进行学习和预测,筛选重要特征,并由此来得到一个新股破发分类器。☆14Aug 26, 2023Updated 2 years ago
- C Primer Plus, 6th Edition 中文版 读书笔记☆17Jun 12, 2018Updated 8 years ago
- 针对沪深300指数的历史交易数据,通过机器学习的方法,预测股票的价格(涨跌概率),并借此来形成相应的交易策略。☆29Apr 27, 2019Updated 7 years ago
- pytorch实现用LSTM做股票价格预测☆312Jun 17, 2020Updated 6 years ago
- Mid price estimation in LOB using Markov model☆13May 11, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆14Jul 5, 2022Updated 4 years ago
- 使用随机森林、bp神经网络、LSTM神经网络、GRU对股票收盘价进行回归预测。Random forest, BP neural network, LSTM neural network and GRU are used to predict the closing pric…☆51May 30, 2020Updated 6 years ago
- twitter用户画像☆32May 6, 2019Updated 7 years ago
- 用深度学习对含噪时间序列数据进行预测☆29Mar 8, 2025Updated last year
- Twitter Sentiment Analysis for the top 10 cryptocurrencies on CoinMarketCap☆11Nov 9, 2018Updated 7 years ago
- 这是一个基于LSTM-RNN算法的线上金融股票价格走势预测的小项目,使用tensorflow框架实现。☆45Sep 12, 2018Updated 7 years ago
- 深度学习初学者理论与实践学习的资料总结☆13Apr 19, 2019Updated 7 years ago
- CNN+LSTM+Attention predict stock☆70Apr 25, 2022Updated 4 years ago
- Use Deep Learning try to predict stock price. 使用深度学习的股票预测☆27Jan 27, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- 信贷逾期用户画像分析☆34Dec 26, 2019Updated 6 years ago
- This is the GitHub repository for our publication "A new attention mechanism to classify multivariate time series", by Yifan Hao and Huip…☆28Aug 28, 2025Updated 11 months ago
- "How to Implement YOLO v3 Object Detector from Scratch" inference源码/ 逐行中文注释☆11Oct 31, 2018Updated 7 years ago
- Stock markets are an essential component of the economy. Their prediction naturally arouses afascination in the academic and financial w…☆22Jun 12, 2021Updated 5 years ago
- Multivariate Multi Step Time Series modelling : Predicting the re-rise of bitcoin prices using RNN and optimising the model using GRU and…☆18Feb 15, 2021Updated 5 years ago
- Stacking classification and regression☆25Oct 12, 2019Updated 6 years ago
- The implementation of ECCV 2018 paper "Parallel Feature Pyramid Network for Object Detection" in Pytorch☆16Mar 18, 2021Updated 5 years ago
- Financial time series forecast using dual attention RNN☆27Jan 27, 2019Updated 7 years ago
- ☆41Nov 2, 2021Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- 掘金量化3.0的一些工程☆34Aug 8, 2019Updated 6 years ago
- 基于pytorch框架,针对文本分类的机器学习项目,集成多种算法(xgboost, lstm, bert, mezha等等),提供基础数据集,开箱即用,方便自己二次拓展,持续更新☆33Mar 23, 2023Updated 3 years ago
- This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting …☆38Oct 18, 2020Updated 5 years ago
- Time Series analysis with Python and ARIMA model to forecast Bitcoin price☆24Sep 5, 2018Updated 7 years ago
- 2019年CCF智能信用评分大赛个人源码库。包含XGboost模型调参,特征筛选,训练等方案。同时包含stacking模型融合方案☆28Apr 20, 2020Updated 6 years ago
- Time Series Prediction of Volume in LOB☆61Apr 17, 2024Updated 2 years ago
- 爬取知乎用户并对单个用户进行画像分析☆102Mar 21, 2019Updated 7 years ago